README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - clickhouse
  - rag
  - embeddings
  - documentation
pretty_name: ClickHouse Documentation Embeddings
task_categories:
  - feature-extraction

ClickHouse Documentation Embeddings

Vector dataset used as the knowledge base for the ClickHouse RAG API. Contains chunked ClickHouse documentation with precomputed embeddings.

Not intended for fine-tuning the embedding model.

Purpose

This dataset backs the retrieval step of the ClickHouse RAG API. At query time, the API embeds an incoming question using the same model and performs cosine distance search against the embedding column in ClickHouse to retrieve relevant documentation chunks.

Schema

Column	Type	Description
source_link	string	URL of the source documentation page
title	string	Title of the documentation page
chunk_index	int32	Position of this chunk within the source page (0-based)
chunk_text	string	Text content of the chunk
embedding	Sequence[float32]	4096-dimensional embedding vector

Embedding Model

Embeddings were produced by qwen3_embedding_8b served via Text Embeddings Inference (TEI).

• Dimensions: 4096
• Dtype: float32

To query this dataset, embed your query using the same model and configuration. Using a different model will produce incompatible vectors and degrade retrieval quality.

Source

Sourced from the ClickHouse documentation.